code: def test_decide_series_chunks():
      with option_context() as options:
          options.chunk_store_limit = 64
  
          s = pd.Series(np.empty(50, dtype=np.int64))
          nsplit = decide_series_chunk_size(
              s.shape, None, s.memory_usage(index=False, deep=True)
          )
          assert len(nsplit) == 1
          assert sum(nsplit[0]) == 50
          assert nsplit[0][0] == 8
  
imports: import operator
  from collections import OrderedDict
  from numbers import Integral
  from typing import List, Dict
  import numpy
  import pandas
  import pytest
  from ...config import option_context
  from ...core import tile
  from ...utils import Timer
  from ..core import IndexValue
  from ..initializer import DataFrame, Series, Index
  from ..utils import decide_dataframe_chunk_sizes, decide_series_chunk_size, split_monotonic_index_min_max, build_split_idx_to_origin_idx, parse_index, filter_index_value, infer_dtypes, infer_index_value, validate_axis, fetch_corner_data, make_dtypes, build_concatenated_rows_frame, merge_index_value, auto_merge_chunks, whether_to_clean_up
label_desc: Use image node_id 2 for calling a global function with example usage: test_decide_series_chunks() without return types